Probability, Statistics, and Forecasting

3.00 credit hours

Data of many kinds are typically available in practice, but the challenge is to use those data to make effective professional decisions. This software-intensive course begins with useful descriptions of data and the probability theory foundation on which statistics rests. It continues to statistics, including the central limit theorem, which explains why data often appear to be normally distributed, and the Palm-Khintchine theorem which explains why data often appear to have a Poisson distribution. The remainder of the course focuses on regression and forecasting, including detecting and overcoming some of the deadly sins of regression, and the surprising flexibility of regression models. Recommended preparation: One semester of undergraduate calculus or consent of instructor.
Offered as MSOR 433 and OPRE 433.

The Weatherhead School of Management is different from other business schools. We are bold in our ideas, creative in our approach, and adaptive in our interactions within a changing business environment. We've enhanced traditional management education by integrating the fundamentals of business with ideas and practices that change individuals, organizations and societies. At Weatherhead, we develop leaders as good global citizens who innovate to create sustainable value.
Founded in 1939